Fan Blade Crack Fault Diagnosis Based on Pneumatic Signals Analysis

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (19) : 227-231.

Li shao-hui1 Cai li-mei2

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Abstract

Based on the analysis of pneumatic signals obtained in fan outlet，the method of dynamic detection of cracks in fan blade was proposed. The original pneumatic signals were collected under different conditions of the fan; then, they were decomposed and reconstructed by multi-resolution wavelet transform. The normalized energy in every frequency band composed six dimension characteristic vector. Principal components analysis (PCA) was used for dimension reduction and feature selection. At last, K-means clustering method was adopted to recognize the condition of fan blade. The results show that pneumatic signal can reflect the state change of fan blade; the method can make a distinction between the normal and abnormal state of fan blade efficiently. It provides the foundation and method for on-line inspection of fan blade crack．

Key words

fan blade crack / fault diagnosis / pneumatic signals / wavelet transform / principal components analysis / K-means

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Li shao-hui1 Cai li-mei2 . Fan Blade Crack Fault Diagnosis Based on Pneumatic Signals Analysis[J]. Journal of Vibration and Shock, 2017, 36(19): 227-231

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